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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

+60142521561

EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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Key facts

Statistics
Qualification Sertifikat Pascasarjana
Study mode Full-time, Part-time
Durasi 1 year
Intakes September
Tuition (Local students) Rp 121.848.545
Tuition (Foreign students) Rp 290.981.600

Subjects

  • Bisnis

  • Keuangan

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Durasi

1 year

Tuition fees

Description Local students Foreign students
Tuition fee Rp 121.848.545 Rp 290.981.600
Miscellaneous fees Data not available Data not available
Total estimated cost of attendance Rp 121.848.545 Rp 290.981.600
Estimated cost per year Rp 121.848.545 Rp 290.981.600

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Admissions

Intakes

Entry Requirements

  • Honours degree at 2:1 or above, or equivalent work experience. Applicants are expected to be familiar
  • with and have some aptitude for basic mathematics and statistics concepts and methods.
  • Claims for the accreditation of prior (experiential) learning will also be considered.
  • IELTS 6.5 overall, with 6.0 in writing and a minimum of 5.5 in the other elements.

Curriculum

Modules

  • Data Management
  • Programming for Analytics
  • Statistical Analysis
  • Business Analytics Strategy and Practice
  • Industry project

Options:

  • Multivariate Analysis
  • Data Mining
  • Stochastic Methods and Forecasting
  • Financial Mathematics and Project Valuation